{
  "id": 13810,
  "url": "https://arxiv.org/abs/2603.28371",
  "title": "Coherent Without Grounding, Grounded Without Success: Observability and Epistemic Failure",
  "summary": "arXiv:2603.28371v2 Announce Type: replace Abstract: When an agent can articulate why something works, we typically take this as evidence of genuine understanding. This presupposes that effective action and correct explanation covary, and that coherent explanation reliably signals both. I argue that this assumption fails for contemporary Large Language Models (LLMs). I introduce what I call the Bidirectional Coherence Paradox: competence and grounding not only dissociate but invert across epistem",
  "authors": "Camilo Chac\\'on Sartori",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-28T04:00:00.000Z",
  "fetched_at": "2026-07-28T05:10:12.325Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13810",
  "original_url": "https://arxiv.org/abs/2603.28371",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}